Most cited computer science papers
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SIFT algorithm-based 3D pose estimation of femur
Zhang, X., Zhu, Y., Li, C., Zhao, J., & Li, G. (2014) · Bio-Medical Materials and Engineering
Medical Image Segmentation TechniquesMedical Imaging and Analysis
Cited by 8
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Question Decomposition Improves the Faithfulness of Model-Generated Reasoning
Radhakrishnan, A., Nguyen, K., Chen, A., Chen, C., Denison, C., Hernandez, D., Durmus, E., Hubinger, E., Kernion, J., Lukošiūtė, K., et al. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8
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Enhanced multi view 3D reconstruction with improved MVSNet
Li, G., Li, K., Zhang, G., Zhu, Z., Wang, P., Wang, Z., & Fu, C. (2024) · Scientific Reports
Advanced Vision and Imaging3D Shape Modeling and Analysis
Cited by 8
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Small-body segmentation based on morphological features with a u-shaped network architecture
Pugliatti, M., & Maestrini, M. (2022) · Journal of Spacecraft and Rockets
Advanced Neural Network ApplicationsRemote-Sensing Image Classification
Cited by 8
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Classification of Patients Using Novel Multivariate Time Series Representations of Physiological Data
Ordonez, P., Armstrong, T., Oates, T., & Fackler, J. (2011) · 2011 10th International Conference on Machine Learning and Applications and Workshops
Time Series Analysis and ForecastingArtificial Intelligence in Healthcare
Cited by 8
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The current state of using learning analytics to measure and support K-12 student engagement: A scoping review
Bond, M., Viberg, O., & Bergdahl, N. (2023) · LAK23: 13th International Learning Analytics and Knowledge Conference
Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning
Cited by 8
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Physics-Informed Graph Learning
Peng, C., Xia, F., Saikrishna, V., & Liu, H. (2022) · arXiv
Advanced Graph Neural NetworksGraph Theory and Algorithms
Cited by 8
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A phenomenographic study of lecturers’ conceptions of using learning technology in a Pakistani context
Hodgson, V., & Shah, U. (2017) · Learning, Media and Technology
Educational Technology and E-LearningEvaluation of Teaching Practices
Cited by 8
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Capture-24: Activity tracker dataset for human activity recognition
Chan Chang, S., & Doherty, A. (2021) · University of Oxford
Context-Aware Activity Recognition SystemsPhysical Activity and Health
Cited by 8
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A Proposed Approach to Analyze Insider Threat Detection Using Emails
Mittal, A., & Garg, U. (2022) · 2022 3rd International Conference on Computation, Automation and Knowledge Management (ICCAKM)
Information and Cyber SecurityNetwork Security and Intrusion Detection
Cited by 8
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GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions
Hsu, T.-Y., Huang, C.-Y., Rossi, R., Kim, S., Giles, C., & Huang, T.-H. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 8
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A Call for Auditable Virtual, Augmented and Mixed Reality
Cloete, R., Norval, C., & Singh, J. (2020) · 26th ACM Symposium on Virtual Reality Software and Technology
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 8
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Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks
Pires, I. M., Pombo, N., Garcia, N. M., & Flórez-Revuelta, F. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis
Cited by 8
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Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement
Xiong, W., Song, Y., Zhao, X., Wu, W., Wang, X., Wang, K., Li, C., Peng, W., & Li, S. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 8
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Generating benchmarks for factuality evaluation of language models
Muhlgay, D., Ram, O., Magar, I., Levine, Y., Ratner, N., Belinkov, Y., Abend, O., Leyton-Brown, K., Shashua, A., & Shoham, Y. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8
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Exploring the decentralized science ecosystem: insights on organizational structures, technologies, and funding
Díaz, F., Menchaca, C., & Weidener, L. (2025) · Frontiers in Blockchain
Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning
Cited by 8
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ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems
Chollet, F., Knoop, M., Kamradt, G., Landers, B., & Pinkard, H. (2025) · arXiv
Psychiatry, Mental Health, NeuroscienceAI-based Problem Solving and Planning
Cited by 8
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Nreal: Ready-to-wear Mixed Reality Glasses
Xu, C. (2021) · SPIE AVR21 Industry Talks II
Augmented Reality ApplicationsAdvanced Optical Imaging Technologies
Cited by 8
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Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Ivison, H., Wang, Y., Pyatkin, V., Lambert, N., Peters, M., Dasigi, P., Jang, J., Wadden, D., Smith, N. A., Beltagy, I., et al. (2023) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 8
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Fault-tolerant quantum speedup from constant depth quantum circuits
Mezher, R., Ghalbouni, J., Dgheim, J., & Markham, D. (2020) · Physical Review Research
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 8
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Stay on topic with Classifier-Free Guidance
Sanchez, G., Fan, H., Spangher, A., Levi, E., Ammanamanchi, P. S., & Biderman, S. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8
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Learning Versatile Convolution Filters for Efficient Visual Recognition
Han, K., Wang, Y., Xu, C., Xu, C., Wu, E., & Tao, D. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 8
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Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs
Laine, R., Chughtai, B., Betley, J., Hariharan, K., Scheurer, J., Balesni, M., Hobbhahn, M., Meinke, A., & Evans, O. (2024) · arXiv
Topic ModelingEthics and Social Impacts of AI
Cited by 8
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Towards 2D/3D Registration of the Preoperative MRI to Intraoperative Fluoroscopic Images for Visualisation of Bone Defects
Ku, P.-C., Martin-Gomez, A., Gao, C., Grupp, R., Mears, S. C., & Armand, M. (2023) · Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
Medical Image Segmentation TechniquesAnatomy and Medical Technology
Cited by 8
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